Description Usage Arguments Details Value Author(s) See Also Examples
Identify sets of markers with identical genotype data.
1 | findDupMarkers(cross, chr, exact.only=TRUE, adjacent.only=FALSE)
|
cross |
An object of class |
chr |
Optional vector specifying which chromosomes to consider. This may be a logical, numeric, or character string vector. |
exact.only |
If TRUE, look only for markers that have matching genotypes and the same pattern of missing data; if FALSE, also look for cases where one the observed genotypes at marker match those at another, and where the first marker has missing genotype whenever the genotype for the second marker is missing. |
adjacent.only |
If TRUE, look only for sets of markers that are adjacent to each other. |
If exact.only=TRUE
, we look only for groups of markers whose
pattern of missing data and observed genotypes match exactly. One
marker (chosen at random) is selected as the name of the group (in the
output of the function).
If exact.only=FALSE
, we look also for markers whose observed genotypes
are contained in the observed genotypes of another marker. We use a
pair of nested loops, working from the markers with the most observed
genotypes to the markers with the fewest observed genotypes.
A list of marker names; each component is a set of markers whose genotypes match one other marker, and the name of the component is the name of the marker that they match.
Karl W Broman, kbroman@biostat.wisc.edu
drop.nullmarkers
,
drop.markers
1 2 3 4 5 6 7 8 9 10 11 12 13 | data(hyper)
hyper <- drop.nullmarkers(hyper)
dupmar <- findDupMarkers(hyper) # finds 4 pairs
dupmar.adjonly <- findDupMarkers(hyper, adjacent.only=TRUE) # finds 4 pairs
dupmar.nexact <- findDupMarkers(hyper, exact.only=FALSE, adjacent.only=TRUE) # finds 6 pairs
# one might consider dropping the extra markers
totmar(hyper) # 173 markers
hyper <- drop.markers(hyper, unlist(dupmar.adjonly))
totmar(hyper) # 169 markers
|
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